Zobrazeno 1 - 10
of 357
pro vyhledávání: '"P. Michiardi"'
In this work we study how diffusion-based generative models produce high-dimensional data, such as an image, by implicitly relying on a manifestation of a low-dimensional set of latent abstractions, that guide the generative process. We present a nov
Externí odkaz:
http://arxiv.org/abs/2410.03368
Autor:
Peng, Yawen, He, Ren, Li, Peng, Zhdanovich, Sergey, Michiardi, Matteo, Gorovikov, Sergey, Zonno, Marta, Damascelli, Andrea, Miao, Guo-Xing
Electronic flat bands can lead to rich many-body quantum phases by quenching the electron's kinetic energy and enhancing many-body correlation. The reduced bandwidth can be realized by either destructive quantum interference in frustrated lattices, o
Externí odkaz:
http://arxiv.org/abs/2408.11985
Autor:
Bannies, J., Michiardi, M., Kung, H. -H., Godin, S., Simonson, J. W., Oudah, M., Zonno, M., Gorovikov, S., Zhdanovich, S., Elfimov, I. S., Damascelli, A., Aronson, M. C.
In the past two decades, various classes of topological materials have been discovered, spanning topological insulators, semimetals, and metals. While the observation and understanding of the topology of a material has been a primary focus so far, th
Externí odkaz:
http://arxiv.org/abs/2407.08798
Tabular data is ubiquitous in many real-life systems. In particular, time-dependent tabular data, where rows are chronologically related, is typically used for recording historical events, e.g., financial transactions, healthcare records, or stock hi
Externí odkaz:
http://arxiv.org/abs/2406.15327
Diffusion models for Text-to-Image (T2I) conditional generation have seen tremendous success recently. Despite their success, accurately capturing user intentions with these models still requires a laborious trial and error process. This challenge is
Externí odkaz:
http://arxiv.org/abs/2405.20759
Autor:
Tully, Alexandra B., Greenwood, Rysa, Na, MengXing, King, Vanessa, Mårsell, Erik, Niu, Yuran, Golias, Evangelos, Mills, Arthur K., de Castro, Giorgio Levy, Michiardi, Matteo, Menezes, Darius, Yu, Jiabin, Zhdanovich, Sergey, Damascelli, Andrea, Jones, David J., Burke, Sarah A.
As an organic semiconductor and a prototypical acceptor molecule in organic photovoltaics, C$_{60}$ has broad relevance to the world of organic thin film electronics. Although highly uniform C$_{60}$ thin films are necessary to conduct spectroscopic
Externí odkaz:
http://arxiv.org/abs/2404.10053
The analysis of scientific data and complex multivariate systems requires information quantities that capture relationships among multiple random variables. Recently, new information-theoretic measures have been developed to overcome the shortcomings
Externí odkaz:
http://arxiv.org/abs/2402.05667
Data Augmentation (DA) -- enriching training data by adding synthetic samples -- is a technique widely adopted in Computer Vision (CV) and Natural Language Processing (NLP) tasks to improve models performance. Yet, DA has struggled to gain traction i
Externí odkaz:
http://arxiv.org/abs/2401.10754
Autor:
Razzoli, E., Boschini, F., Zonno, M., Na, M. X., Michiardi, M., Schneider, M., Neto, E. H. da Silva, Gorovikov, S., Zhong, R. D., Schneeloch, J., Gu, G. D., Zhdanovich, S., Mills, A. K., Levy, G., Jones, D. J., Giannetti, C., Damascelli, A.
The 40-70 meV band-structure renormalization (so-called kink) in high-temperature cuprate superconductors - which has been mainly interpreted in terms of electron-boson coupling - is observed to be strongly suppressed both above the superconducting t
Externí odkaz:
http://arxiv.org/abs/2312.05378
Data Augmentation (DA)-augmenting training data with synthetic samples-is wildly adopted in Computer Vision (CV) to improve models performance. Conversely, DA has not been yet popularized in networking use cases, including Traffic Classification (TC)
Externí odkaz:
http://arxiv.org/abs/2310.13935